Everpure’s Daniel Kent on building sustainable AI models

Daniel Kent, Vice President of Systems Engineering at Everpure, discussed the key factors that differentiate successful AI programs from those that stall. He emphasized the importance of aligning data sets with the mission’s objectives and having a clear plan for building and maintaining AI models. Kent highlighted the need to consider costs and resources, and to start small before scaling. He also stressed having a robust security strategy and continuous data maintenance to ensure AI applications remain effective, as data freshness is crucial to AI’s success.